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Title: Análisis de datos de RNA-Seq empleando diferentes paquetes desarrollados dentro del proyecto Bioconductor para estudios de expresión génica diferencial
Author: Chamorro Poyo, Cristina
Director: Merino Arranz, David
Tutor: Brunel Montaner, Helena
Keywords: RNA-seq
gene differential expression analysis
Issue Date: 4-Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: Despite the fact RNA-Seq technologies suppose a major change within transcriptome analysis, replacing previous technologies like microarrays; a standard method for processing its outputs, especially differential gene expression analysis, has not yet been decided. Search for data analysis tools, in this type of studies, has led the implementation of previously microarrays data analysis package as well as, new software development based on specialized statistical techniques. Advantages and disadvantages about these tools are not usually well-known by researchers. This project focuses on the comparison of three most popular Bioconductor packages for differential gene expression data analysis: Limma, EdgeR and DESeq2. An exhaustive data analysis, from real RNA-Seq experiments, was done in order to achieve this goal. Identification of advantages and disadvantages within all the three packages will allow researchers to take right decisions according experiment specifications.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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